Tandem appoints AI vet Noam Zeigerson chef data officer

Source: Tandem Bank

Today, Tandem Bank announces that they have appointed Noam Zeigerson as their Chief Data Officer. Noam will oversee the Artificial Intelligence operations, data-driven business strategy and data governance.

Noam has over 18 years of experience in data & analytics, machine learning, data governance, predictive analytics, business intelligence and data monetization. As a proficient international executive and entrepreneur, Noam yielded improved performance levels for clients in revenue, profit, customer loyalty, risk management and financial management.

Prior to joining Tandem, Noam was Executive Vice Present of Data and Analytics at Bank Hapoalim, Israel’s largest bank. There he built a Greenfield Data Lake, introduced over 30 open source technologies and launched the AI environment with more than 30 use cases a year. Noam also served as Global Chief Technologies Officer for AI & Big Data at Ness Technologies and launched two successful startups in AI and Analytics across North America and Europe.

Tandem is a bank built on data, using AI to unearth insights and help people manage their money. The AI is used to truly understand each customer, offer real-world solutions and remove tedious admin from the everyday money management. These personalised insights are utilised across the Tandem app features, such as Autosavings, and will be an important aspect in the unique analysis used in Tandem’s upcoming mortgage offering.

Noam Zeigerson, Chief Data Officer at Tandem Bank, says, “I am truly looking forward to working with Tandem, a next-generation digital bank that is built on data and driven by AI to revolutionise the banking experience for its customers. AI has the power to transform personal banking, and Tandem is at the forefront of understanding its value. There is no one-size-fits-all in banking - every day we are training AI, harnessing the power across app features to give each user an experience that is tailored to their needs.” 

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